US11794606B2ActiveUtilityA1

Management device, management method, and program

64
Assignee: HONDA MOTOR CO LTDPriority: Jun 17, 2019Filed: Jun 17, 2019Granted: Oct 24, 2023
Est. expiryJun 17, 2039(~12.9 yrs left)· nominal 20-yr term from priority
B60L 58/12G01R 31/389G01R 31/3842B60L 2240/545B60L 2240/547B60L 53/80G06Q 50/10B60L 58/16B60L 50/60B60L 2240/549B60L 53/305B60L 53/65B60L 2260/46B60L 2260/20B60L 2250/20Y02T10/70Y02T10/7072Y02T90/12Y02T90/16Y02T90/167Y04S30/14
64
PatentIndex Score
1
Cited by
9
References
5
Claims

Abstract

A management device includes an information acquirer configured to acquire battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle, a first feature deriver configured to derive a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery, a second feature deriver configured to derive a second feature indicating characteristics of the user based on the information on the user, and a selector configured to select a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature.

Claims

exact text as granted — not AI-modified
What is claim is: 
     
       1. A management device comprising:
 an information acquirer configured to acquire battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle; 
 a first feature deriver configured to derive a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery; 
 a second feature deriver configured to derive a second feature indicating characteristics of the user based on the information on the user; and 
 a selector configured to select a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature, 
 wherein the information acquirer acquires a detection value indicating a usage state of the secondary battery as the battery information, and 
 the first feature deriver derives a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery. 
 
     
     
       2. The management device according to  claim 1 ,
 wherein the information acquirer acquires vehicle information on a traveling state of the vehicle as the information on the user, and 
 the second feature deriver derives the second feature based on a result obtained by applying the vehicle information to a user characteristic detection model that identifies characteristics of the user. 
 
     
     
       3. The management device according to  claim 1 ,
 wherein the information acquirer acquires information indicating a current, a voltage, and a temperature when the secondary battery is charged or discharged as the detection value. 
 
     
     
       4. A management method comprising:
 by a computer, 
 acquiring battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle; 
 deriving a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery; 
 deriving a second feature indicating characteristics of the user based on the information on the user; and 
 selecting a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature, 
 wherein the acquiring includes acquiring a detection value indicating a usage state of the secondary battery as the battery information, and 
 deriving the first feature includes deriving a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery. 
 
     
     
       5. A program which causes a computer to execute:
 acquiring battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle; 
 deriving a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery; 
 deriving a second feature indicating characteristics of the user based on the information on the user; and 
 selecting a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature 
 wherein the acquiring includes acquiring a detection value indicating a usage state of the secondary battery as the battery information, and 
 deriving the first feature includes deriving a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery.

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